Twinthread’s customer benefits
TwinThread is an Industrial AI and analytics platform that delivers real-time insights and predictive capabilities to optimise operations. It empowers organisations to reduce downtime, enhance asset reliability, and improve efficiency. With easy integration and rapid deployment, TwinThread accelerates decision-making and drives measurable improvements across industrial and manufacturing environments.
The Twinthread integration with Ultimo
Integrating TwinThread with Ultimo EAM delivers powerful added value by combining real-time operational insights with robust asset management capabilities. TwinThread’s Industrial AI and predictive analytics continuously analyse equipment performance, enabling organisations to anticipate alarms and failures.
The integration facilitates seamless data flow between systems, empowering maintenance and operations teams to act directly on real-time AI data analytics anomaly detection. Additionally, data collected by TwinThread from many sources can be sent to Ultimo for intelligent decision-making. Integrating TwinThread's AI and digital twins with Ultimo's EAM enhances asset reliability, operational insights, and workflow efficiency.
Integration feature highlights
Real-time workorder creation: Workorders are created based on detected or predicted anomalies. Detected anomalies and predicted anomalies requiring engineer action are pushed to Ultimo for follow-up.
Condition-based maintenance: Maintenance-relevant operational data seamlessly shared with Ultimo. Operational data that's relevant for determining your preventive or condition-based maintenance is sent to Ultimo (e.g. run hours).
Customer case
A global manufacturer of plastic films uses TwinThread to provide advanced warning from models indicating abnormal or unstable conditions. These warnings are integrated with plant maintenance and engineering work processes across three production lines. The integration with the Industrial AI platform directly driving production floor activities has reduced both downtime and maintenance expense.
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